Best AI tools for< Lab Technician >

Ascenscia is a specialized AI voice assistant designed to streamline lab digitization processes. It integrates with laboratory software and machines to enable hands-free interactions, automating data collection, optimizing workflows, and accelerating R&D cycles. Ascenscia offers features such as data accessibility, data capturing, inventory access, and additional task management. The application is designed for scientific labs, addressing concerns with precision, safety, and adaptability. It boasts high accuracy in understanding scientific terminologies, end-to-end data encryption, multi-lingual support, and customization options for different lab workflows.

Synthace is a digital experiment platform designed for R&D teams in the life science industry. It allows users to design and run powerful experiments in the lab, automatically build structured data, and gain insights without the need for coding. The platform centralizes bioprocess data, reduces human error, and enables confident protocol reproducibility.

PubCompare is a powerful AI-powered tool that helps scientists search, compare, and evaluate experimental protocols. With over 40 million protocols in its database, PubCompare is the largest repository of trusted experimental protocols. PubCompare's AI-powered search features allow users to find similar protocols, highlight critical steps, and evaluate the reproducibility of protocols based on in-protocol citations. PubCompare is available from any computer and requires no download.

Protocol Pal is a website designed to help users with building protocols. It is a user-friendly platform created by Basam Alasaly, Oceanexplains, and Tkruer. The website aims to simplify the process of creating protocols for various purposes. Users can easily navigate through the platform to generate structured protocols efficiently. Protocol Pal is a valuable tool for researchers, scientists, and professionals who require well-defined protocols for their work.

Medlabreport.com is an AI-powered platform that helps users understand their medical exam results easily. By uploading a file, users receive a comprehensive report within 5 minutes, focusing on personalized insights based on symptoms, age, and other factors. The platform's advanced AI analyzes symptoms, provides recommendations, and prioritizes focus areas in the report. While the reports are not a substitute for licensed medical diagnosis, they offer a quick second opinion and complementary perspective to traditional healthcare. Users can trust the platform's AI model, which exceeds the passing score on the United States Medical Licensing Examination (USMLE) by over 20 points.

OctoEverywhere is a free and unlimited AI tool that provides remote access to OctoPrint, Klipper, and Bambu Lab printers. It offers features such as live progress push notifications, print failure detection, and 3D printer notifications. The application is secure, easy to set up, and trusted by over 180k makers worldwide. Users can access their printers from anywhere, monitor prints remotely, and receive webcam snapshots. OctoEverywhere aims to empower makers globally by providing a powerful and accessible tool for 3D printing enthusiasts.

The Visual Computing & Artificial Intelligence Lab at TUM is a group of research enthusiasts advancing cutting-edge research at the intersection of computer vision, computer graphics, and artificial intelligence. Our research mission is to obtain highly-realistic digital replica of the real world, which include representations of detailed 3D geometries, surface textures, and material definitions of both static and dynamic scene environments. In our research, we heavily build on advances in modern machine learning, and develop novel methods that enable us to learn strong priors to fuel 3D reconstruction techniques. Ultimately, we aim to obtain holographic representations that are visually indistinguishable from the real world, ideally captured from a simple webcam or mobile phone. We believe this is a critical component in facilitating immersive augmented and virtual reality applications, and will have a substantial positive impact in modern digital societies.

SuperAGI is a leading research organization focused on Generalized Super Intelligence. They work on research in technical areas such as Neurosymbolic AI, Autonomous Agents & Multi-Agent Systems, New Model Architectures, System 2 Thinking, Recursive Self-Improving Systems, and other socio-economic super AGI-related topics such as Digital Workforce, Algorithmic Governance, UBI, etc.

Nieman Lab is an AI tool designed to analyze and predict the future of journalism in the Internet age. It aims to help news publishers navigate the evolving landscape of digital news by providing insights and trends in journalism. The platform offers reports, analysis, and collaborations to advance the standards of journalism and explore the art and craft of storytelling.

Bethge Lab is an AI research group at the University of Tübingen focusing on Neuro AI - Autonomous Lifelong Learning in Machines and Brains. They develop machine learning tools for neural data analysis and draw inspiration from the brain to address key problems in machine learning. Their research includes representation learning, probabilistic inference, generative modeling, behavioral data analysis, and neural data analysis. Additionally, they explore AI sciencepreneurship and collaborate with startups. Bethge Lab aims to advance the understanding of autonomous learning and develop economically feasible solutions for long-term human needs.

Texture Lab is a web application that provides instant textures for game development. Users can create unique seamless textures from any text input, such as dragon scales, gross meaty mess, Egyptian ancient tiles, rocks stonewall, and more. The application offers features like clay mode for texture generation, variations in diffuse, height, and normal textures, and a library of ready-to-use free textures. Texture Lab caters to various texture categories like building, rock, wood, sand, vegetable, ice, and miscellaneous textures. The generated textures are licensed under the Creative ML OpenRAIL-M license. Created by Hugo.

Educator Lab is an AI-powered SaaS tool that helps educators generate compliant lesson plans, worksheets, and activities. With our platform, you can create PDF and Doc files for any grade, academic subject, and level, including general and adult education. Whether you're a teacher, administrator, or instructional designer, Educator Lab has everything you need to streamline your lesson planning process and improve student outcomes.

Product Lab AI is an innovative AI tool designed to assist businesses in optimizing their product development process. The tool utilizes advanced machine learning algorithms to analyze market trends, consumer preferences, and competitor strategies. By leveraging AI technology, Product Lab AI provides valuable insights and recommendations to help companies enhance their product offerings and stay ahead of the competition. With its user-friendly interface and customizable features, Product Lab AI is a powerful solution for streamlining product development workflows and driving business growth.

Espresso Lab is a cutting-edge AI tool designed to empower software engineers by providing AI-generated UI tests, effortless element identification, and comprehensive test cases. It leverages GPT-4 technology to streamline the QA process and enhance productivity. The tool offers flexible pricing options and innovative solutions to push the boundaries of software engineering.

The Decision Lab is an AI-powered platform that applies behavioral science to create transformational change for individuals, products, and organizations. Using machine learning and AI, the platform delivers hyper-personalization, designs people-centered products and services, and leverages behavioral science to achieve operational excellence. The platform helps in understanding consumer decision-making, generating positive behaviors, and building world-class digital products with behavioral science. It fosters holistic wellness, unlocks product potential, and empowers individuals to take control of their finances. The Decision Lab offers insights and interventions to help organizations make better decisions and create meaningful impact through evidence-based choice.

Domino Data Lab is an enterprise AI platform that enables data scientists and IT leaders to build, deploy, and manage AI models at scale. It provides a unified platform for accessing data, tools, compute, models, and projects across any environment. Domino also fosters collaboration, establishes best practices, and tracks models in production to accelerate and scale AI while ensuring governance and reducing costs.

Domino Data Lab is an enterprise AI platform that enables users to build, deploy, and manage AI models across any environment. It fosters collaboration, establishes best practices, and ensures governance while reducing costs. The platform provides access to a broad ecosystem of open source and commercial tools, and infrastructure, allowing users to accelerate and scale AI impact. Domino serves as a central hub for AI operations and knowledge, offering integrated workflows, automation, and hybrid multicloud capabilities. It helps users optimize compute utilization, enforce compliance, and centralize knowledge across teams.

The NVIDIA Toronto AI Lab is a research laboratory focused on advancing the state-of-the-art in artificial intelligence. The lab's researchers are working on a wide range of AI topics, including deep learning, machine learning, computer vision, natural language processing, and robotics.

The Human-Centred Artificial Intelligence Lab (Holzinger Group) is a research group focused on developing AI solutions that are explainable, trustworthy, and aligned with human values, ethical principles, and legal requirements. The lab works on projects related to machine learning, digital pathology, interactive machine learning, and more. Their mission is to combine human and computer intelligence to address pressing problems in various domains such as forestry, health informatics, and cyber-physical systems. The lab emphasizes the importance of explainable AI, human-in-the-loop interactions, and the synergy between human and machine intelligence.

AI Lawyer Lab is a platform that enables legal professionals to leverage artificial intelligence technology to enhance their legal services. By utilizing AI algorithms, users can streamline legal processes, analyze vast amounts of legal data efficiently, and generate insights to support decision-making. The platform empowers lawyers to transform their legal expertise into innovative AI solutions, ultimately improving the quality and efficiency of legal services.

OctoEverywhere is a cloud-based tool designed to provide free, private, and unlimited remote access to OctoPrint and Klipper printers' web control portals from anywhere. It offers features such as free AI failure detection, webcam streaming, mobile app integration, live streaming, printer notifications, secure portal sharing, plugin functionality, and multicam support. With a high Trustpilot rating and a large user base, OctoEverywhere aims to empower the maker community with easy and efficient printer management.

Lightning Lab is a public template for artificial intelligence and machine learning research projects using Lightning AI's PyTorch Lightning. It provides a structured project layout with modules for command line interface, experiment utilities, Lightning Module and Trainer, data acquisition and preprocessing, model serving APIs, project configurations, training checkpoints, technical documentation, logs, notebooks for data analysis, requirements management, testing, and packaging. The template simplifies the setup of deep learning projects and offers extras for different domains like vision, text, audio, reinforcement learning, and forecasting.

awesome-ml-blogs is a curated list of machine learning technical blogs covering a wide range of topics from research to deployment. It includes blogs from big corporations, MLOps startups, data labeling platforms, universities, community content, personal blogs, synthetic data providers, and more. The repository aims to help individuals stay updated with the latest research breakthroughs and practical tutorials in the field of machine learning.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

AirGuard is an anti-tracking protection app designed to protect Android users from being tracked by AirTags and other Find My devices. The app periodically scans the surroundings for potential tracking devices and notifies the user if being followed. Users can play a sound on AirTags, view tracked locations, and participate in a research study on privacy protection. AirGuard does not monetize through ads or in-app purchases and ensures all tracking detection and notifications happen locally on the user's device.

Sailor is a suite of open language models tailored for South-East Asia (SEA), focusing on languages such as Indonesian, Thai, Vietnamese, Malay, and Lao. Developed with careful data curation, Sailor models are designed to understand and generate text across diverse linguistic landscapes of the SEA region. Built from Qwen 1.5, Sailor encompasses models of varying sizes, spanning from 0.5B to 7B versions for different requirements. Benchmarking results demonstrate Sailor's proficiency in tasks such as question answering, commonsense reasoning, reading comprehension, and more in SEA languages.

MindChat is a psychological large language model designed to help individuals relieve psychological stress and solve mental confusion, ultimately improving mental health. It aims to provide a relaxed and open conversation environment for users to build trust and understanding. MindChat offers privacy, warmth, safety, timely, and convenient conversation settings to help users overcome difficulties and challenges, achieve self-growth, and development. The tool is suitable for both work and personal life scenarios, providing comprehensive psychological support and therapeutic assistance to users while strictly protecting user privacy. It combines psychological knowledge with artificial intelligence technology to contribute to a healthier, more inclusive, and equal society.

The End-to-End LLM Bootcamp is a comprehensive training program that covers the entire process of developing and deploying large language models. Participants learn to preprocess datasets, train models, optimize performance using NVIDIA technologies, understand guardrail prompts, and deploy AI pipelines using Triton Inference Server. The bootcamp includes labs, challenges, and practical applications, with a total duration of approximately 7.5 hours. It is designed for individuals interested in working with advanced language models and AI technologies.

AITom is an open-source platform for AI-driven cellular electron cryo-tomography analysis. It is developed to process large amounts of Cryo-ET data, reconstruct, detect, classify, recover, and spatially model different cellular components using state-of-the-art machine learning approaches. The platform aims to automate cellular structure discovery and provide new insights into molecular biology and medical applications.

This repository is a curated list of research papers that explore the integration of Large Language Model (LLM) technology with tabular data. It aims to provide a comprehensive resource for researchers and practitioners interested in this emerging field. The repository includes papers on a wide range of topics, including table-to-text generation, table question answering, and tabular data classification. It also includes a section on related datasets and resources.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and applications. It discusses current limitations and future directions in efficient MLLM research.

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

The AI Fairness 360 toolkit is an open-source library designed to detect and mitigate bias in machine learning models. It provides a comprehensive set of metrics, explanations, and algorithms for bias mitigation in various domains such as finance, healthcare, and education. The toolkit supports multiple bias mitigation algorithms and fairness metrics, and is available in both Python and R. Users can leverage the toolkit to ensure fairness in AI applications and contribute to its development for extensibility.

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and their applications, while also discussing current limitations and future directions.

AudioLLMs is a curated collection of research papers focusing on developing, implementing, and evaluating language models for audio data. The repository aims to provide researchers and practitioners with a comprehensive resource to explore the latest advancements in AudioLLMs. It includes models for speech interaction, speech recognition, speech translation, audio generation, and more. Additionally, it covers methodologies like multitask audioLLMs and segment-level Q-Former, as well as evaluation benchmarks like AudioBench and AIR-Bench. Adversarial attacks such as VoiceJailbreak are also discussed.

Welcome to the ultimate hub for on-device Large Language Models (LLMs)! This repository is your go-to resource for all things related to LLMs designed for on-device deployment. Whether you're a seasoned researcher, an innovative developer, or an enthusiastic learner, this comprehensive collection of cutting-edge knowledge is your gateway to understanding, leveraging, and contributing to the exciting world of on-device LLMs.

I'm your lab test consultant for blood tests and microbial cultures. How can I help you today?

Water Test Strip Analyst

High School Science Research Mentor

A helpful guide for biochemical engineers, offering insights and reassurance.

Your go-to for designing, analyzing, and recording experiments, and generate your lab report.

Expert in automation engineering, generating Python code for Opentrons SDK.

Advanced AI for chemistry, offering innovative solutions, process optimizations, and safety assessments, powered by OpenAI.

Advanced Mycological Genomic Analysis Expert

Expert in all aspects of spectral flow cytometry.

A scientific guide to chemicals and their properties.

Uses OpenStax Textbooks to help answer questions and teach

Describe your medical signs and symptoms. Optionally also list any applicable known lab test results. Further lab tests will be recommended. Any web searches may be requested explicitly. Extra tests by these providers may also be requested explicitly: QuestHealth, WalkInLab, RadiologyAssist

A guide to electron configurations with a fun, cartoony approach.

Innovative GPT in genetic engineering, compliant with OpenAI's usage policies

Assists in designing experiments for your scientific questions

Starlims 스크립트 수정 및 정보를 알려주는 나의 친구

The main objective of a personalized ChatGPT for reading laboratory tests is to evaluate laboratory test results and create a spreadsheet with the evaluation results and possible solutions.

Expert on lye, providing detailed chemical information and safety guidelines.

Program ini memberikan penjelasan yang jelas tentang berbagai topik kimia. Pengguna dapat mempelajari segala sesuatu mulai dari konsep kimia dasar hingga teori yang lebih kompleks. Program ini dirancang untuk membuat kimia mudah dipahami oleh semua orang.

Explore the fascinating world of elements with in-depth insights on chemistry, periodic table, and elemental properties. Dive into our comprehensive guide for a deeper understanding of the elements' significance in science and everyday life.

Answer Chemistry related Questions and exercises

Microbiology expert providing detailed information on microorganisms and research.

Questo programma fornisce spiegazioni chiare su un'ampia gamma di argomenti di chimica. Gli utenti possono imparare tutto, dai concetti di base della chimica alle teorie più complesse. È stato progettato per rendere la chimica facile da capire per tutti.

Questo programma fornisce spiegazioni chiare su un'ampia gamma di argomenti di biologia. Gli utenti possono imparare tutto, dai concetti biologici di base alle teorie più complesse. È stato progettato per rendere la biologia facile da capire per tutti.

Hello Acid Extractor! I'm your dedicated Acid Extractor Assistant here to assist you with all your acid extraction needs. Let's work together for successful extractions!

Enhanced with biomedical document knowledge for in-depth blood test analysis.

生物化学领域的知识型助手，避免提供医学建议。